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RESEARCH PAPER · Chemistry of Materials · 2023

Self-Driving Laboratory for Polymer Electronics

Aikaterini Vriza, Henry Chan, Jie Xu

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Self-Driving Laboratory for Polymer ElectronicsOriginalFrontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics12Synthesis and exceptional operational durability of polyaniline-inspired conductive ladder polymers24Towards a modular architecture for science factories31Smart manufacturing inspired approach to research, development, and scale-up of electrified chemical manufacturing systems9From Solution to Thin Film: Molecular Assembly of π-Conjugated Systems and Impact on (Opto)electronic Properties290Using 3D printing as a research tool for materials discovery12WITHDRAWN1WITHDRAWN1Integrating Conjugated Polymers with Bacteriorhodopsin to Realize Quasi Dual‐Gate Organic Field‐Effect Transistors4Boron-induced microstructural manipulation of titanium and titanium alloys in additive manufacturing34Exploring Benchmarks for Self-Driving Labs using Color Matching4Keeping an “eye” on the experiment: computer vision for real-time monitoring and control44Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows22An Affordable Platform for Automated Synthesis and Electrochemical Characterization1Autonomous millimeter scale high throughput battery research system12Chemspyd : an open-source python interface for Chemspeed robotic chemistry and materials platforms29PANDA: a self-driving lab for studying electrodeposited polymer films27Recent Advances of AI and Machine Learning in Materials Research0The future of self-driving laboratories: from human in the loop interactive AI to gamification102The Problem of Scientific Autonomy in Automated Materials Hypothesis Generation0Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)0Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)1Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)0Highlights from 2023 and Chemistry of Materials’ 35th Year0Degradable π-Conjugated Polymers60Pathway to a fully data-driven geotechnics: Lessons from materials informatics20A printing-inspired digital twin for the self-driving, high-throughput, closed-loop optimization of roll-to-roll printed photovoltaics14Semiautomated experiment with a robotic system and data generation by foundation models for synthesis of polyamic acid particles8Metaheuristics-guided active learning for optimizing reaction conditions of high-performance methane conversion5Recent advances in enhancing thermoelectric performance of polymeric materials0Top 20 influential AI-based technologies in chemistry50Accelerated discovery of perovskite solid solutions through automated materials synthesis and characterization29Self-Driving Laboratories for Chemistry and Materials Science674High Throughput Characterization of Organic Thin Film Transistors18Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward38From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks91Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows4An affordable platform for automated synthesis and electrochemical characterization23Improving Charge Transport and Environmental Stability of Carbohydrate‐Bearing Semiconducting Polymers in Organic Field‐Effect Transistors2Accurate and Efficient Structure Elucidation from Routine One-Dimensional NMR Spectra Using Multitask Machine Learning59Assessment and prospect of digital twin deployment and application in advanced synchrotron radiation light sources0A Data-Driven Platform for Automated Characterization of Polymer Electrolytes21A revolutionary paradigm in chemistry and materials science research: self-driving laboratories8Anubis: Bayesian optimization with unknown feasibility constraints for scientific experimentation23Democratizing self-driving labs: advances in low-cost 3D printing for laboratory automation25Developments in polytellurophenes and tellurophene-containing polymers: from synthesis to applications6Liquid crystals as solid-state templates13Autonomous platform for solution processing of electronic polymers68The Role of Artificial Intelligence and Machine Learning in Polymer Characterization: Emerging Trends and Perspectives10A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research5Leveraging Artificial Intelligence for Accelerated Polymer Synthesis and Design0VISION: a modular AI assistant for natural human-instrument interaction at scientific user facilities9Machine-Learning-Assisted Molecular Design of Innovative Polymers33A review on electrolyte innovation enabled by machine learning for energy storage applications5Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective14Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility5Limitations of theory-informed machine learning algorithms for the prediction and exploration of molecular properties: Solvation free energy as a case study3Automation-Assisted Photoinduced Atom Transfer Radical Polymerization8Path to Machine Learning-Driven Autonomous Systems for Solid-State Electrolyte Batteries: Design, Fabrication, and Lifetime Prediction13Exocortex Network for AI-Augmented Human-Led Scientific Expedition1High-Throughput Robotic GIWAXS at ALS SAXS/WAXS Beamline4Autonomous Synthesis and Inverse Design of Electrochromic Polymers with High Efficiency and Accuracy5BRINE: a cost-effective electrochemical self-driving laboratory for accelerated discovery of high-performance electrolytes4Adaptive AI decision interface for autonomous electronic material discovery10Electronic polymer discovery through adaptive AI-guided autonomous experimentation0Pareto-Optimal Experimentation: Human-Guided Multi-Objective Bayesian Optimization in Scanning Probe Microscopy4Autonomous Nanoparticle Synthesis Guided by In Situ Multiscale Structural Characterization6MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation7AI-Driven Design of Multifunctional Polyimides: Revolutionizing the Paradigm from Data to Synthesis0Towards an artificial intelligence ecosystem for performance-driven polymer design1Synergizing Chemical and AI Communities for Advancing Laboratories of the Future1A Purpose-Built Open Source Liquid Handler for Industry-Class Automated Experiments0MADSci: A modular Python-based framework to enable autonomous science2Synergistic Evolution of Segmental Motion and Cooperative Relaxation within the Amorphous Phase of Organic Mixed Ionic-Electronic Conductors0AUTONOMOUS POLYMER MATERIALS DISCOVERY: ARTIFICIAL INTELLIGENCE ARCHITECTURES FOR GENERATIVE DESIGN AND CLOSED-LOOP ENGINEERING0Automated Identification of Thermal Transitions in Conjugated Material Thin Films Using In Situ Optical Spectroscopy0Overcoming Roadblocks for Implementing AI/ML Methods for Materials Advancement3AI-driven innovation for organics in energy storage materials: Recent advances and near-term research opportunities0Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design2Microstructure inference of organic thin films via light modulated photocurrent characterization0Materials by machines: A review on intuition and knowledge-driven learning for rapid discovery and optimization0Additive manufacturing enabled autonomous laboratory for materials discovery and concurrent design of materials and shape0Adaptive human-in-the-loop optimization using language-guided priors for chemical experiments0Predicting Copolymerization Reactivity Ratios: Do We Need Better Models or Better Data?0Cross-Scale Mixed Conduction in Organic Electrochemical Transistors: From Nanoscale Ion–Electron Coupling to Biointegrated Intelligence0An Autonomous Robotized Cell for Polymer Foaming0

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  2. Synthesis and exceptional operational durability of polyaniline-inspired conductive ladder polymers

    Materials Horizons · 2023-01-01

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  3. Towards a modular architecture for science factories

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  4. Smart manufacturing inspired approach to research, development, and scale-up of electrified chemical manufacturing systems

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  5. From Solution to Thin Film: Molecular Assembly of π-Conjugated Systems and Impact on (Opto)electronic Properties

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  6. Using 3D printing as a research tool for materials discovery

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  7. WITHDRAWN

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  9. Integrating Conjugated Polymers with Bacteriorhodopsin to Realize Quasi Dual‐Gate Organic Field‐Effect Transistors

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  10. Boron-induced microstructural manipulation of titanium and titanium alloys in additive manufacturing

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  11. Exploring Benchmarks for Self-Driving Labs using Color Matching

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  12. Keeping an “eye” on the experiment: computer vision for real-time monitoring and control

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  13. Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows

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  14. An Affordable Platform for Automated Synthesis and Electrochemical Characterization

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  15. Autonomous millimeter scale high throughput battery research system

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  17. PANDA: a self-driving lab for studying electrodeposited polymer films

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  18. Recent Advances of AI and Machine Learning in Materials Research

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  20. The Problem of Scientific Autonomy in Automated Materials Hypothesis Generation

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  24. Highlights from 2023 and Chemistry of Materials’ 35th Year

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  25. Degradable π-Conjugated Polymers

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